Biomarkers for Alzheimer's disease—preparing for a new era of disease-modifying therapies

H Zetterberg, BB Bendlin - Molecular psychiatry, 2021 - nature.com
Clinical trial results presented in 2019 suggest that antibody-based removal of cerebral
amyloid β (Aβ) plaques may possibly clear tau tangles and modestly slow cognitive decline …

Alzheimer's disease: past, present, and future

MW Bondi, EC Edmonds, DP Salmon - Journal of the International …, 2017 - cambridge.org
Although dementia has been described in ancient texts over many centuries (eg,“Be kind to
your father, even if his mind fail him.”–Old Testament: Sirach 3: 12), our knowledge of its …

[HTML][HTML] Two randomized phase 3 studies of aducanumab in early Alzheimer's disease

S Budd Haeberlein, PS Aisen, F Barkhof… - The journal of …, 2022 - Springer
Background Alzheimer's disease is a progressive, irreversible, and fatal disease for which
accumulation of amyloid beta is thought to play a key role in pathogenesis. Aducanumab is …

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

S Qiu, PS Joshi, MI Miller, C Xue, X Zhou, C Karjadi… - Brain, 2020 - academic.oup.com
Alzheimer's disease is the primary cause of dementia worldwide, with an increasing
morbidity burden that may outstrip diagnosis and management capacity as the population …

Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer's disease

M Otero-Garcia, SU Mahajani, D Wakhloo, W Tang… - Neuron, 2022 - cell.com
Tau aggregation in neurofibrillary tangles (NFTs) is closely associated with
neurodegeneration and cognitive decline in Alzheimer's disease (AD). However, the …

[HTML][HTML] Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks

S Basaia, F Agosta, L Wagner, E Canu, G Magnani… - NeuroImage: Clinical, 2019 - Elsevier
We built and validated a deep learning algorithm predicting the individual diagnosis of
Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) …

Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images

B Zhao, T Li, Z Fan, Y Yang, J Shu, X Yang, X Wang… - Science, 2023 - science.org
Cardiovascular health interacts with cognitive and mental health in complex ways, yet little is
known about the phenotypic and genetic links of heart-brain systems. We quantified heart …

Hierarchical fully convolutional network for joint atrophy localization and Alzheimer's disease diagnosis using structural MRI

C Lian, M Liu, J Zhang, D Shen - IEEE transactions on pattern …, 2018 - ieeexplore.ieee.org
Structural magnetic resonance imaging (sMRI) has been widely used for computer-aided
diagnosis of neurodegenerative disorders, eg, Alzheimer's disease (AD), due to its …

Automated brain extraction of multisequence MRI using artificial neural networks

F Isensee, M Schell, I Pflueger, G Brugnara… - Human brain …, 2019 - Wiley Online Library
Brain extraction is a critical preprocessing step in the analysis of neuroimaging studies
conducted with magnetic resonance imaging (MRI) and influences the accuracy of …

Dual attention multi-instance deep learning for Alzheimer's disease diagnosis with structural MRI

W Zhu, L Sun, J Huang, L Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological
disease diagnosis, which could reflect the variations of brain. However, due to the local …